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Remote-Violence, Bombings and Conflict Part 3: Overall Trends in the Use of Improvised Explosive Devices

The use of improvised explosive devices (IEDs) in conflict zones across has become increasingly prevalent over the past few years (Norton-Taylor, 3 July 2014). Conflict in Africa mirrors this global trend, as the number of discrete events involving IEDs grew from 9 reports in 2005 to 468 in 2013. The number of fatalities resulting from IED attacks also increased in 2014, and accounts for 1009 fatalities, the highest on record in the ACLED for such events.

However, the relationship between IED attacks and fatalities is not linear (Figure 1). In 2012, 974 fatalities resulted from 356 discrete events, compared to 644 fatalities resulting from 468 events in 2013. Previous studies of IED attacks have previously found a weak relationship between the number of attacks and the number of fatalities. One of the main reasons for this is that the lethality of an IED is dependent upon the ability of state forces to disarm or dispose of the bomb (START, 2012). The increase in fatalities between 2013 and 2014 is due to the growth of unrest in areas such as Libya and Nigeria, where the presence of external forces and expertise has been limited, particularly in comparison to other IED hotspots such as Mali or Somalia.

Theorists have argued that IEDs function well as symbolic weapons, which can be used to demonstrate a regime’s vulnerability to violence or a government’s inability to protect its citizens (McCormick and Giordano, 2007). By targeting agents of the state, civilians, popular monuments or symbols, conflict actors can use IEDs to undermine confidence in the government and coerce public opinion and government policies (Merari, 1993). The data supports these theories: 31.8% of IED-related conflict events involve political militias using these weapons against civilians, while 26.49% involve political militias and state forces.

Interactions between political militias and civilians are wide spread across Africa (Figure 2), are present in regions not typically associated with IED-related violence, and areas that do not involve any other types of IED-related interaction. For example, Southern Africa shows a prevalence of IED-related violence by political militias against civilians, in spite of having a very low incidence of other forms of IED-related violence.

Interactions between political militias and the state are more concentrated within high-activity countries such as Libya, Somalia, Egypt and Nigeria.

In contrast rebel groups, who differ from political militias in that they have a stated political agenda for national power, are involved in far fewer IED-related events. Rebel interactions with state forces, civilians, and external forces accounted for 26.43% of all IED-related conflict events. This suggests that, in many cases, IED’s are a weapon of political coercion rather than a means to defeat the government.

There are, of course, exceptions. Figure 2 shows that IEDs have been employed in conflicts between rebels and governments in Algeria, Mali, Somalia, Senegal, Niger Delta, Darfur and Angola.

On the subnational level, IED-related events show a locational bias towards urban areas. Of the most active locations for IED-related violence, the vast majority are urban areas housing a population of over 150,000 (Figure 3). Subnational IED hotspots include urban areas such as Jos, Kano, Tripoli and Algiers. Urban areas create a severe security predicament for governments and IEDs that successfully detonate in these areas will cause more casualties and more effectively demonstrate the inability of the government to maintain security.

IEDs, while not purely the preserve of weak actors, are a low-cost tactic that is attractive to non-state conflict actors with a limited capacity for direct conflict (ACLED, 29 October 2014). The growth in IED usage could be due to non-state conflict actors becoming increasingly weak when compared to state forces. Over the past decade political militias have overtaken rebel groups as the primary non-state actor. Political militias now involved in 21.71% of conflict events, as opposed to 8.78% for rebel forces. Political militias typically lack the capacity or will to take control of the state. For these actors, the IED is an ideal tool to either damage state forces with minimal risk or to coerce the state without controlling it. It may be the case that as governments consolidate more control over their territory and as credible attempts to usurp state power decrease, IED-related attacks will become a more frequent fixture of African conflicts.

To download all ACLED data for the entire time period of coverage, simply click ‘export’

To download all available ACLED data for a specific time period, simply enter a date range and click ‘export’

Please be aware that ACLED covers over 80 countries, but the period of active coverage differs. For African states, all data are available from January 1st 1997 onwards. For other countries, more recent periods are available and the details for each country can be found here

To download real-time and historical data for specific event types, choose in that category and leave all other categories as they are. All data for that event type will be exported.

To download real-time and historical data for specific actor type or actor, choose in that category and leave all other categories as they are. All data for that event type will be exported.

To download real-time and historical data for specific region, country or location, choose in that category and leave all other categories as they are. All data for that event type will be exported.

By default, the data are exported in a format where each row represents an single event, on a specific day and location and involving distinct actors.

A actor based file has events by single actors, meaning that events are often repeated if two actors are involved. The difference between the two file types is based on whether the data are being used to analyse patterns over time, types of violence, conflict between groups, or locations (which the normal file type is best for), or to analyse actor types or specific actors, when the “actor-based” file is best.

Many guides to, and details of, the data use and coding processes can be found on the resource pages.